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Discrete Response Multilevel Models for Repeated Measures: An Application to Voting Intentions Data

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Abstract

Repeated measures data can be modelled as a two-levelmodel where occasions (level one units) are grouped byindividuals (level two units). Goldstein et al. (1994)proposed a multilevel time series model when theresponse variable follows a Normal distribution andthe measurements are taken with unequal timeintervals. This paper extends the methodology todiscrete response variables. The models are applied toBritish Election Study data consisting of repeatedmeasures of voting intention.

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Authors and Affiliations

  1. Pontificia Universidade Catolica do Rio de Janeiro, Brazil

    Maria Ferrao Barbosa

  2. Institute of Education, University of London, UK

    Harvey Goldstein

Authors
  1. Maria Ferrao Barbosa
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  2. Harvey Goldstein
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Ferrao Barbosa, M., Goldstein, H. Discrete Response Multilevel Models for Repeated Measures: An Application to Voting Intentions Data. Quality & Quantity 34, 323–330 (2000). https://doi.org/10.1023/A:1004711502296

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  • DOI: https://doi.org/10.1023/A:1004711502296

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